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NVIDIA Corp., renowned for its cutting-edge technology and the world’s most expensive stock in the S&P 500 Index, recently faced a staggering $220 billion selloff, cutting short its reign as the world’s most valuable company. With shares trading at approximately 23 times the company’s projected sales over the next year, the company finds itself at the center of a valuation conundrum.

The AI Boom and Its Uncertainties

NVIDIA’s meteoric rise has been fueled by the AI boom, which has driven unprecedented demand for its chips. Over the past year, the company’s revenue has consistently outstripped Wall Street’s quarterly financial estimates. However, this surge comes with significant uncertainty. Even Wall Street analysts and NVIDIA executives are finding it challenging to predict the company’s future revenues accurately, complicating investor efforts to determine whether NVIDIA’s shares are overpriced.

Since the fiscal quarter ending April 2023, NVIDIA’s sales have exceeded its own forecasts by an average of 13%, more than double the average over the past decade. In August, the company’s sales surpassed projections by 23%, the largest margin since at least 2013, according to Bloomberg data.

Supply Chain Constraints and Revenue Modelling

Brian Colello, an analyst at Morningstar, emphasizes that the most uncertain variable for NVIDIA is supply, especially amid soaring demand. This challenge complicates revenue modelling for the chipmaker. Last month, Colello raised his price target for NVIDIA shares from $91 to $105, with shares currently trading around $127. He estimates up to $4 billion could be added to NVIDIA’s quarterly revenue to forecast the upcoming quarter’s sales.

Colello acknowledges the difficulty in accurate forecasting, saying, “I’m not the first analyst to raise my price target or be surprised by revenues far ahead of what we thought a year ago.” He is not alone in adjusting estimates; Melius analyst Ben Reitzes recently increased his price target on NVIDIA for the fifth time this year, from $125 to $160, suggesting a 26% gain from Friday’s closing price.

Market Momentum and Investor Sentiment

Many traders are buying NVIDIA stock based purely on momentum. The stock has surged 156% this year, briefly surpassing Microsoft Corp. to become the world’s most valuable company at $3.34 trillion. This rally contributed to a record $8.7 billion inflow into tech funds in one week, according to Bank of America Corp.’s analysis of EPFR Global data. However, NVIDIA shares have since fallen 6.7%, wiping out over $220 billion in market value.

The Challenge for Discounted Cash Flow Models

For investors focused on discounted cash flow models, the discrepancy between estimates and actual results creates a significant challenge. Over the past five quarters, analysts’ estimates for NVIDIA’s sales have deviated from actual results by an average of 12%, the third highest among S&P 500 companies with average quarterly revenue of at least $5 billion and coverage by at least 20 analysts.

With major customers like Microsoft planning to increase spending on computing hardware, NVIDIA is projected to achieve a profit of $14.7 billion on sales of $28.4 billion in the current quarter, up 137% and 111%, respectively, from the same period last year. In contrast, Microsoft’s sales are expected to grow by 15%, while Apple’s projections are around 3%.

Future Outlook and Valuation Concerns

Despite NVIDIA’s high valuation multiples, they seem more justifiable given the company’s rapid growth, especially since estimates have consistently been low. However, Michael O’Rourke, chief market strategist at Jones Trading, cautions that as NVIDIA’s growth rate starts to stabilize due to its size, the degree to which it surpasses Wall Street’s expectations will likely diminish. This could make it harder to justify the current high price of its shares.

As NVIDIA navigates these turbulent waters, the key question for investors remains: how to determine a reasonable price for a stock exhibiting such exceptional profit and sales growth compared to its large-cap peers. The coming months will be critical in assessing whether NVIDIA can sustain its high valuation or if market corrections will continue to challenge its position.

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Privacy-centric search engine DuckDuckGo has announced a groundbreaking feature that allows users to anonymously access popular AI chatbots such as OpenAI’s ChatGPT, Anthropic’s Claude 3 Haiku, Mixtra 8x7B, and Meta’s Llama 3. This new service, aptly named AI Chat, aims to provide the benefits of generative AI while addressing privacy concerns.

A New Era of Private AI Interaction

DuckDuckGo’s AI Chat is designed to empower users to engage with advanced AI models without compromising their privacy. The feature is free to use with a daily limit, and users can deactivate it whenever they choose. A paid tier with a higher daily usage limit and access to more AI models is also in the pipeline.

“We believe people should be able to use the Internet and other digital tools without feeling like they need to sacrifice their privacy in the process,” the company stated. “So, we meet people where they are, developing products that add a layer of privacy to the everyday things they do online. That’s been our approach across the board – first with search, then browsing, email, and now with generative AI via AI Chat.”

How to Use DuckDuckGo’s AI Chat

To utilize the AI Chat feature, users simply need to navigate to duck.ai or duckduckgo.com/chat. Once on the AI search page, they can select their preferred generative AI model and start interacting with it as they would with any other chatbot. The key difference is that these interactions are completely anonymous.

DuckDuckGo ensures that chat requests appear to originate from DuckDuckGo itself, rather than the individual user, thereby maintaining user anonymity. Additionally, similar to its traditional search capabilities, DuckDuckGo offers a “fire button” that users can tap to clear the last chat.

Privacy Measures and Data Handling

DuckDuckGo has emphasized that it does not save or store any chats. To further enhance privacy, the company has partnered with the AI providers to ensure that all chat entries are deleted within 30 days. Importantly, these interactions will not be used to train or improve the AI models, offering an additional layer of security and peace of mind for users concerned about their data being used without their consent.

The Future of Private AI

With this innovative feature, DuckDuckGo continues its mission to provide privacy-first tools for internet users. By integrating AI chat capabilities, the company not only enhances its service offerings but also sets a new standard for privacy in the realm of artificial intelligence.

As AI technology becomes increasingly integral to everyday tasks, DuckDuckGo’s AI Chat stands out as a pivotal development. It bridges the gap between advanced AI utility and stringent privacy requirements, offering users the best of both worlds.


DuckDuckGo’s introduction of anonymous access to powerful AI chatbots represents a significant advancement in privacy-focused technology. By allowing users to harness the capabilities of ChatGPT, Claude 3 Haiku, Mixtra 8x7B, and Meta Llama 3 without sacrificing their privacy, DuckDuckGo is redefining the landscape of digital interaction. As the feature rolls out, it will be interesting to see how it influences user engagement and sets new benchmarks for privacy standards in AI-driven applications.

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As the tech world eagerly awaits Apple’s upcoming Worldwide Developers Conference (WWDC), anticipation is building around the company’s latest advancements in artificial intelligence (AI). Apple’s recent collaborations with OpenAI and its interest in Google’s Gemini model have fueled speculation about its AI strategy. Renowned Apple analyst Mark Gurman has provided a sneak peek into what to expect from the highly anticipated iOS 18 update.

A Glimpse into iOS 18: AI-Powered Innovations

In his recent report for Bloomberg, Gurman revealed that iOS 18 is set to be released initially as a Beta or Preview version before its official rollout in September. This phased launch indicates that Apple’s AI innovations are still in development, hinting at a significant evolution in its AI capabilities later this year.

While Apple has historically lagged behind competitors like Google and Samsung in the AI race, the company is poised for a substantial leap forward. Google’s AI efforts, particularly in image generation and comprehensive AI summaries, have set a high bar. However, Apple is approaching its AI evolution with meticulous planning, aiming to integrate AI seamlessly into its ecosystem.

Anticipated Features: Revolutionizing User Experience

Gurman’s insights suggest that the AI features in iOS 18 are still being refined. However, there is considerable excitement about the potential enhancements to core iOS apps such as Safari, Notes, Messages, and Siri. Among the anticipated features are:

  1. Voice Memo Transcription: Transforming voice recordings into text, making it easier for users to capture and organize their thoughts.
  2. Enhanced Spotlight Capabilities: Improved search functionalities that leverage AI to deliver more relevant and personalized results.
  3. Intelligent Email and Text Suggestions: AI-powered predictions and suggestions to streamline communication and enhance productivity.

One of the most intriguing developments is Apple’s reported work on generative AI for emojis. This feature could allow users to create custom emojis tailored to any occasion, offering a new level of personalization beyond the existing catalog. This innovation could revolutionize emoji usage, making digital communication even more expressive and unique.

Challenges and Expectations: The Road Ahead

As WWDC approaches, the tech community is keen to see how Apple will showcase these AI features, especially given their ongoing development. The big question remains: Will Apple be able to catch up with leading brands in the AI space, or does it still have significant ground to cover?

Apple’s careful and deliberate approach suggests a commitment to delivering polished and reliable AI functionalities. While the company’s AI journey may have started later than some of its competitors, its focus on seamless integration and user experience could give it a unique advantage.

Conclusion: A New Era for Apple

The upcoming WWDC promises to be a pivotal moment for Apple as it unveils its AI-driven vision for the future. With iOS 18, Apple aims to demonstrate its ability to innovate and lead in the AI landscape. As the world watches, Apple is set to step out of the shadows and reveal the transformative potential of its AI endeavors. Whether it will redefine the AI landscape or continue to play catch-up, only time will tell. For now, the excitement and anticipation continue to build, marking a new chapter in Apple’s storied history.

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OpenAI has recently taken a groundbreaking step by announcing the release of its new end-to-end multimodal model, ChatGPT 4o, which is now available for free to all users. This strategic move not only makes advanced AI technology accessible to a wider audience but also introduces a suite of premium features that were previously exclusive to ChatGPT Plus subscribers. In this comprehensive article, we delve into the differences between ChatGPT 4o and its predecessor, ChatGPT 4, and explore the implications for both free and premium users.

ChatGPT Free vs. ChatGPT Plus: A Detailed Comparison

Feature Availability

FeatureChatGPT FreeChatGPT Plus
Models AvailableGPT-4o, GPT-3.5GPT-4o, GPT-4, GPT-3.5
Internet AccessYesYes
File and Document UploadYesYes
Analyze Data & Create ChartsYesYes
Upload & Analyze ImagesYesYes
Access Custom GPTYesYes
Create Custom GPTNoYes
Explore GPT StoreYesYes
Message Limits10 queries on GPT-4o (every 5 hours, rest on GPT-3.5)5x more on GPT-4o than free users
Voice ConversationOld Voice ModeNatural Voice Conversation (Upcoming)
Access to Upcoming ModelsNoYes

Performance and Capabilities: Head-to-Head Comparison

Reasoning and Problem-Solving Tests

1. Drying Time Calculation
Question: If it takes 1 hour to dry 15 towels under the Sun, how long will it take to dry 20 towels?
Performance: Both ChatGPT 4o and ChatGPT 4 utilized logical reasoning to determine that it would also take 1 hour to dry 20 towels, as drying time depends on exposure rather than the number of items.

2. The Elevator Test
Question: Starting on floor 1, I take the magic elevator 3 floors up. Exiting the elevator, I then use the stairs to go 3 floors up again. Which floor do I end up on?
Performance: Both models correctly answered floor 4, demonstrating their ability to follow multi-step instructions and solve complex puzzles.

3. Weight Comparison
Question: What’s heavier, a kilo of feathers or a pound of steel?
Performance: Both ChatGPT 4o and ChatGPT 4 accurately stated that a kilo of feathers is heavier than a pound of steel, showcasing their understanding of weight and measurement conversions.

4. Instruction Following
Task: Generate 10 sentences that end with the word “deep learning”.
Performance: Both models successfully created 10 sentences ending with “deep learning,” illustrating their proficiency in following detailed user instructions.

5. Basic Arithmetic
Question: I have 3 apples today, yesterday I ate an apple. How many apples do I have now?
Performance: Both models correctly responded that there are still 3 apples, highlighting their accuracy in basic arithmetic operations.

Benchmark Achievements: Setting New Standards

OpenAI’s internal benchmark tests reveal that ChatGPT 4o not only matches but exceeds the performance of GPT-4 in several key areas. On the MMLU benchmark, ChatGPT 4o achieved a score of 88.7, surpassing the latest GPT-4 model’s score of 86.5. This superior performance is consistent across various benchmarks, including HumanEval, MATH, and GPQA, indicating ChatGPT 4o’s robust capabilities in diverse tasks.

Moreover, ChatGPT 4o operates at twice the speed of GPT-4 and is 50% cheaper to run, making it a remarkably efficient and cost-effective choice for users. This increased efficiency and reduced cost further enhance the appeal of ChatGPT 4o, particularly for users who require fast and reliable AI assistance.

Implications for Users: Free and Premium

With the introduction of ChatGPT 4o, free users now have unprecedented access to a top-tier AI model. The limit of 10 messages every five hours is a generous allowance that enables users to experience state-of-the-art AI capabilities at no cost. This democratization of advanced AI technology marks a significant shift in how people can interact with and benefit from AI tools.

For power users who rely on ChatGPT for intensive tasks, the ChatGPT Plus subscription remains a valuable investment. Premium users enjoy enhanced performance, a higher message limit, and early access to upcoming frontier models. These benefits are particularly important for professionals who depend on AI for critical and complex tasks, making the subscription a worthwhile upgrade.

Conclusion: A Game-Changing Development

OpenAI’s decision to offer ChatGPT 4o for free is a transformative move that broadens access to cutting-edge AI technology. By providing free users with advanced features and maintaining robust options for premium users, OpenAI has set a new standard in the AI landscape. This initiative not only empowers a wider audience but also fosters greater innovation and application of AI in various fields.

As ChatGPT 4o becomes widely available, users can look forward to leveraging its powerful capabilities to enhance productivity, creativity, and problem-solving. Whether for casual use or professional applications, the availability of ChatGPT 4o represents a significant step forward in making AI accessible and beneficial to all.

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Since its recent release, Llama-3 has rapidly gained traction, amassing an impressive 648,460 downloads on Hugging Face within just a few weeks. Developed by Meta and backed by compute from Crusoe Energy, Llama-3 has captivated developers and enthusiasts alike, pushing the boundaries of what’s possible with natural language processing (NLP) models.

Here are 10 groundbreaking examples showcasing the versatility and ingenuity of Llama-3:

  • Llama-3 8B Gradient Instruct 1048k: This model, developed by Gradient, extends Llama-3 8B’s context length from 8k to over 1048K. Leveraging techniques like NTK-aware interpolation and Ring Attention, it efficiently manages long contexts with minimal training, demonstrating state-of-the-art performance in handling extensive data.
  • RAG App with Local Llama-3: Empowering users to harness Llama-3’s capabilities without an internet connection, developers have built a RAG (Retrieval-Augmented Generation) app that runs locally on computers. With simple setup instructions, users can leverage Llama-3’s power for various tasks, from information retrieval to content generation, all within a user-friendly interface.
  • Agri Vertical Dhenu 1.0: KissanAI’s Agri Vertical Dhenu 1.0 model, fine-tuned on Llama-3 8B for 150K instructions, offers a specialized solution for India’s agricultural sector. Tailored to address local challenges and opportunities, this model is freely available for download, enabling stakeholders to explore its capabilities, provide feedback, and drive innovation in agrotech.
  • Tool Calling Champion: GroqInc’s Llama-3 70b emerges as a tool-calling champion, combining speed, efficiency, and affordability. Excelling in benchmarks and tests, this model showcases unparalleled performance, making it a formidable contender in the AI landscape.
  • Lightning-fast Copilot in VSCode: Integrating Llama-3 with VSCode via GroqInc’s CodeGPT extension unleashes the full potential of this AI as a copilot for developers. With seamless connectivity and intuitive features, developers can enhance productivity and streamline coding processes with ease.
  • Advanced Function Calling with Hermes 2 Pro: Nous Research introduces Hermes 2 Pro, leveraging Llama-3’s dedicated tokens for tool call parsing tags to streamline function calling and structured output. Surpassing previous benchmarks, this model demonstrates superior performance across various evaluation metrics.
  • TherapistAI Powered by Llama3-70B: Harnessing the prowess of Llama3-70B, TherapistAI.com delivers an enhanced conversational experience akin to GPT-4. With refined responses and improved memory capabilities, Llama-3 elevates the platform’s problem-solving prowess, offering personalized interactions and actionable insights.
  • AI Coding Assistant: Transforming coding workflows, an AI coding assistant built with Llama-3 enhances productivity and efficiency. By integrating Llama-3 via Ollama and leveraging VSCode extensions, developers can streamline coding tasks and unlock new levels of efficiency.
  • Superfast Research Assistant: By harnessing Llama-3 models on Groq, researchers can develop a superfast research assistant capable of generating comprehensive reports on complex topics. Leveraging Llama-3’s capabilities, this assistant accelerates information retrieval and synthesis, revolutionizing the research process.
  • Building RAG Capabilities for Accessing Private Data: Subtl.ai pioneers RAG capabilities for accessing private data, offering accelerated information retrieval while maintaining data security. By securely processing and recalling sensitive data, Llama-3 enables AI-enhanced access to private information, driving efficiency and data protection.

As Llama-3 continues to inspire innovation across diverse domains, its transformative impact on AI applications promises to reshape industries and revolutionize user experiences. With its remarkable versatility and performance, Llama-3 heralds a new era of AI-driven solutions, propelling humanity towards a future of boundless possibilities.

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OpenAI has announced the expansion of its highly anticipated Memory feature within ChatGPT, making it accessible to subscribers of ChatGPT Plus. Initially available to a select group of users, the Memory feature enables the AI system to retain queries, prompts, and customized modifications in a permanent manner.

The unveiling of this upgrade marks a significant milestone in the evolution of ChatGPT, empowering users with enhanced capabilities to personalize their interactions with the AI. By leveraging Memory, users can provide ChatGPT with specific instructions, preferences, or information, which the AI system will remember and incorporate into subsequent conversations.

In a recent announcement, OpenAI stated, “Memory is now available to all ChatGPT Plus users. Using Memory is easy: just start a new chat and tell ChatGPT anything you’d like it to remember.” This expansion of availability extends beyond Europe and Korea, encompassing a broader user base globally.

But what exactly is ChatGPT’s Memory feature? Designed to enhance user experience and streamline interactions, Memory enables ChatGPT to recall past conversations, preferences, and instructions provided by users. This enables the AI system to tailor its responses more effectively, ensuring a personalized and seamless conversational experience.

The concept of Memory was first introduced by OpenAI in February of this year, initially limited to a select group of testers. In a blog post, OpenAI provided an example of how the Memory feature could be utilized: “You’ve explained that you prefer meeting notes to have headlines, bullets, and action items summarized at the bottom. ChatGPT remembers this and recaps meetings this way.”

So, how can users leverage ChatGPT’s Memory feature? It’s simple. Users can actively inform ChatGPT of their preferences, instructions, or relevant details during conversations. Alternatively, ChatGPT can autonomously pick up on patterns and information shared during interactions, thereby refining its responses over time.

Ultimately, the Memory feature empowers users to engage with ChatGPT in a more personalized and efficient manner. By remembering user preferences and instructions, ChatGPT eliminates the need for repetitive reminders, fostering a smoother and more intuitive conversational experience.

As OpenAI continues to innovate and enhance its AI capabilities, the expansion of ChatGPT’s Memory feature signifies a step forward in delivering cutting-edge conversational AI solutions to a global audience. With Memory now accessible to ChatGPT Plus subscribers, users can expect greater customization and efficiency in their interactions with the AI system.

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Baidu, the Chinese tech giant, has unveiled remarkable statistics for its AI-powered chatbot, “Ernie Bot,” showcasing its escalating popularity and market penetration. CEO Robin Li disclosed that Ernie Bot has now amassed over 200 million users, doubling its user base from just a few months ago.

Li further highlighted the staggering usage rate of Ernie Bot’s application programming interface (API), which is being leveraged a whopping 200 million times daily. This indicates the substantial demand for the chatbot’s services, with users frequently relying on it to accomplish various tasks. Additionally, Ernie Bot has secured a significant presence in the enterprise sector, boasting 85,000 enterprise clients.

The announcement comes amidst Baidu’s strategic initiatives to monetize Ernie Bot, with revenue generation efforts already underway. In the fourth quarter alone, Baidu capitalized on AI-driven advancements to enhance its advertising solutions, resulting in substantial earnings amounting to several hundred million yuan. Moreover, the company has extended support to other enterprises in building their AI models, further consolidating Ernie Bot’s position in the market.

Ernie Bot, introduced last March as one of China’s pioneering generative AI chatbots, received official approval for public release in August. Notably, China mandates regulatory approval for the deployment of generative AI services, distinguishing it from many other jurisdictions.

Despite Ernie Bot’s impressive growth, it faces competition from domestic rivals, particularly Moonshot AI’s “Kimi” chatbot, backed by Alibaba. Kimi has exhibited rapid expansion, narrowing the gap with Ernie Bot. Recent data indicates a surge in Kimi’s user visits, with a remarkable 321.6 percent increase in March compared to the previous month.

However, on a global scale, Chinese generative AI services still trail behind their Western counterparts. OpenAI’s ChatGPT remains the world leader in this domain, with a staggering total traffic of 1.86 billion views last month.

China’s intensified focus on AI innovation is evident in its accelerated approvals for AI services, underlining its commitment to compete with the United States in the tech sphere. With 117 large AI models receiving approvals thus far, China continues to position itself as a formidable contender in the global AI landscape.

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Meta, the parent company of popular social media platforms like Facebook, Instagram, and WhatsApp, has quietly introduced its AI-powered chatbot on WhatsApp, Instagram, and Messenger in India and several parts of Africa. This feature is gradually rolling out for both iOS and Android users, potentially powered by Llama 2 or the upcoming Llama 3 AI models.

Users can access the chatbot through the top search bar in the WhatsApp user interface. Interestingly, the design of the chatbot closely resembles that of Perplexity AI, as noted by Aravind Srinivas, the CEO of Perplexity AI, in a post on X. Despite the similarity in appearance, the integration operates independently, ensuring the privacy of private conversations on WhatsApp. User interactions with the search bar remain confidential and are not shared with Meta AI unless explicitly directed to the chatbot.

Meta AI suggests topics through the search bar or conversation, utilizing randomly generated suggestions that do not rely on user-specific information. The search bar retains its primary function, enabling users to search for chats, messages, media, and contacts within the app. Users can continue to search their conversations for specific content without engaging with Meta AI, preserving ease of use and privacy.

Moreover, personal messages and calls on WhatsApp remain end-to-end encrypted, ensuring that neither WhatsApp nor Meta can access them, even with the integration of Meta AI.

Meta’s expansion of AI initiatives follows the advancements made by prominent tech companies like OpenAI. After piloting its AI chatbot in markets such as the U.S., Meta is now extending testing to India, its largest market with over 500 million Facebook and WhatsApp users.

In addition, Meta has confirmed plans to release its next AI model, Llama 3, within the current month, indicating the company’s commitment to advancing AI technology and improving user experiences across its platforms.

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In a bid to democratize video creation and storytelling, Google unveiled its latest innovation on Tuesday: Google Vids. This groundbreaking app harnesses the power of artificial intelligence (AI) to empower users of all skill levels to become proficient storytellers through video content.

Google Vids, described as an AI-based standalone application, aims to revolutionize the video creation process, making it accessible to everyone, regardless of their expertise in video editing. Set to be officially launched in June as part of Workspace Labs, this innovative tool promises to simplify the complex task of video production.

The core functionality of Google Vids revolves around its AI-driven capabilities, which enable users to craft compelling videos using a variety of elements, including stock images and background music. By leveraging AI, users can seamlessly create visually engaging content without the need for intricate editing skills.

One of the standout features of Google Vids is its intuitive storyboard-like interface, which streamlines the editing process. Users can effortlessly manipulate different components of their videos within the storyboard framework, allowing for seamless customization until the desired final look is achieved.

Google’s announcement of Google Vids coincides with the rollout of several other updates for Google Workspace, further solidifying the company’s commitment to innovation and productivity enhancement. Among the notable additions are an AI-based security add-on, a new table feature for Google Sheets, and a translation tool for Google Meet, catering to diverse user needs within the Workspace ecosystem.

In a move to enhance the user experience beyond productivity tools, Google has also integrated AI into its shopping tool, enabling users to discover new styles and find specific clothing items through image cues. This expansion into the realm of fashion demonstrates Google’s versatility in leveraging AI to address various consumer interests and preferences.

Despite the novelty of Google Vids and its accompanying updates, the tech giant remains steadfast in its mission to deliver innovative solutions that cater to the evolving needs of its user base. With Google Vids, Google is poised to redefine the landscape of video creation, ushering in a new era of creativity and storytelling powered by AI technology.

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In a recent interview on X spaces, Tesla CEO Elon Musk delivered thought-provoking insights into the future of artificial intelligence (AI), predicting that AI capable of surpassing the intelligence of the smartest human may emerge as soon as next year or by 2026. Despite encountering technical glitches during the interview, Musk delved into various topics, shedding light on the constraints facing AI development, particularly related to electricity availability.

During the conversation with Nicolai Tangen, CEO of Norway’s wealth fund, Musk provided updates on Grok, an AI chatbot developed by his xAI startup. He revealed plans for the upcoming version of Grok, scheduled for training by May, while acknowledging challenges posed by a shortage of advanced chips.

Notably, Musk, a co-founder of OpenAI, expressed concerns about the deviation of OpenAI from its original mission and the prioritization of profit over humanity’s welfare. He founded xAI last year as a competitor to OpenAI, which he has sued for allegedly straying from its altruistic goals.

Discussing the resource-intensive nature of AI training, Musk disclosed that training the Grok 2 model required approximately 20,000 Nvidia H100 GPUs, with future iterations anticipated to necessitate up to 100,000 Nvidia H100 chips. However, he underscored that chip shortages and electricity supply would emerge as critical factors shaping AI development in the near future.

Transitioning to the automotive sector, Musk lauded Chinese carmakers as the most competitive globally, issuing warnings about their potential to outperform global rivals without appropriate trade barriers. Addressing recent labor disputes, he provided updates on a union strike in Sweden against Tesla, indicating that discussions had taken place with Norway’s sovereign wealth fund, a significant Tesla shareholder, to address the situation.

Elon Musk’s remarks offer valuable insights into the evolving landscape of AI development and the formidable challenges confronting both the technology and automotive industries. As advancements in AI continue to accelerate, navigating these challenges will be paramount to shaping the future of innovation and technology.

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